ArticleFrontiers in physiology2019
Anthropometric Clusters of Competitive Cyclists and Their Sprint and Endurance Performance.
Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 38 citations in OpenAlex.
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- Beyond Playing Positions: Categorizing Soccer Players Based on Match-Specific Running Performance Using Machine Learning.Journal of sports science & medicine · 2025Article
- Hydration assessment and physical performance of mountain bike cyclists in competition in a hot environment.Scientific reports · 2025Article
- Body composition and physical performance of mountain bike athletes.Scientific reports · 2025Article
- On Leveraging Machine Learning in Sport Science in the Hypothetico-deductive Framework.Sports medicine - open · 2024Article
- The Influence of Anthropometric Variables on the Performance of Elite Traditional Rowers.Sports (Basel, Switzerland) · 2024Article
- Anthropometric characteristics of young elite sailors based on performance level.Journal of exercise science and fitness · 2023Article
- Ankle-Brachial Index and Arterial Stiffness, Modulate the Exertional Capacity of High-Frequency Training Athletes.Journal of cardiovascular development and disease · 2022Article
- Toward an Anthropometric Pattern in Elite Male Handball.International journal of environmental research and public health · 2022Article
- Comparative analysis of endurance, strength and body composition indicators in professional, under-23 and junior cyclists.Frontiers in physiology · 2022Article
- Morphological Asymmetries Profile and the Difference between Low- and High-Performing Road Cyclists Using 3D Scanning.Biology · 2021Article
- Putative Role ofSports (Basel, Switzerland) · 2021Article
- Body composition in professional female netball players within and between seasons: a cohort study.BMC sports science, medicine & rehabilitation · 2021Article
- Using Field Based Data to Model Sprint Track Cycling Performance.Sports medicine - open · 2021Review
- Quadriceps and Patellar Tendon Thickness and Stiffness in Elite Track Cyclists: An Ultrasonographic and Myotonometric Evaluation.Frontiers in physiology · 2020Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Do athletes specialize toward sports disciplines that are well aligned with their anthropometry? Novel machine-learning algorithms now enable scientists to cluster athletes based on their individual anthropometry while integrating multiple anthropometric dimensions, which may provide new perspectives on anthropometry-dependent sports specialization. We aimed to identify clusters of competitive cyclists based on their individual anthropometry using multiple anthropometric measures, and to evaluate whether athletes with a similar anthropometry also competed in the same cycling discipline. Additionally, we assessed differences in sprint and endurance performance between the anthropometric clusters. Twenty-four nationally and internationally competitive male cyclists were included from sprint, pursuit, and road disciplines. Anthropometry was measured and
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.